Laser Precision Microfabrication (LPM) 2022
Lecture - Young Scientist Presentation
08.06.2022 (CEST)
Numerical simulations and experimental analysis of scanning techniques for low-roughness surfaces using UV femtosecond pulses
EK

Evaldas Kažukauskas (M.Sc.)

Vilnius University

Kažukauskas, E. (Speaker)¹; Butkus, S.²; Jukna, V.²; Paipulas, D.²; Sirutkaitis, V.²
¹Vilnius University; ²Vilnius University, faculty of physics, laser research center
Vorschau
18 Min. Untertitel (CC)

Surface roughness is an important parameter that has a great influence on various material properties. It determines the rate of

corrosion, wettability, biocompatibility, as well as optical properties of different materials [1-3]. Low roughness (< 100 nm Ra)

surfaces are difficult to achieve through an ablation-based process even with fs pulses, therefore investigation of the theoretical

intricacies is of major interest when engraving transparent materials.

In our study we present an in-depth investigation of the scanning techniques and how they influence the final surface

roughness. We numerically investigate the evolution of the surface roughness when it is scanned with UV femtosecond pulses

multiple times (multiple layers) and compare the numerical results to the experimentally acquired values. We found that in the

case of a single scan the dominant surface roughness determining factor is the overlap of modifications. We observed that

parameters such as modification overlap, laser-scanner synchronization and initial beam profile strongly influence the resulting

surface roughness in a non-linear manner. In the case of a multi-scanned surface we have determined that the resulting surface

roughness can be minimized by introducing rotation of every following layer at a certain angle with respect to the previous one.

The angle for minimized surface roughness highly depended on system configuration. The investigated theoretical model is in

good relation to the experimentally acquired results and provides valuable information when optimizing the process for

minimal-roughness micromachining when performing deep engraving of transparent materials.

Abstract

Abstract

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